Machine learning-based prediction of in-hospital mortality for critically ill patients with sepsis-associated acute kidney injury

This study aims to develop and validate a prediction model in-hospital mortality in critically ill patients with sepsis-associated acute kidney injury (SA-AKI) based on machine learning algorithms.